Wavelet-Based Filtering Method for Sleep EEG Signal

Abstract:

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In this paper, in accordance with several common signal interference in sleep EEG detection, it is processed by wavelet transform. It mainly includes: ①.remove white noise from EEG using wavelet threshold method; ②.remove baseline drift from EEG using wavelet decomposition and reconstruction method; ③.remove sharp pulse interference using wavelet modulus maximum algorithm; ④.remove EMG from EEG using wavelet decomposition and reconstruction as well as modulus maximum method. The results of simulation study show that: it can filter a variety of common interference in EEG detection preferably by wavelet transform.

Info:

Periodical:

Edited by:

Han Zhao

Pages:

2160-2165

DOI:

10.4028/www.scientific.net/AMM.130-134.2160

Citation:

H. Qiang et al., "Wavelet-Based Filtering Method for Sleep EEG Signal", Applied Mechanics and Materials, Vols. 130-134, pp. 2160-2165, 2012

Online since:

October 2011

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Price:

$35.00

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